Transcend Staffing Solutions LLC. a 100% Women Owned Minority Staffing Firm!

Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a 6+ month contract, based in Charlotte, NC. Key skills include PySpark, SQL, Python, and GCP. Financial company experience is required. Work involves data pipeline development and collaboration with business teams.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
376
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🗓️ - Date
May 14, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Charlotte, NC
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🧠 - Skills detailed
#BigQuery #Storage #Stories #Spark SQL #Cloud #Data Pipeline #Spark (Apache Spark) #GCP (Google Cloud Platform) #Programming #PySpark #Indexing #Compliance #Python #"ETL (Extract #Transform #Load)" #Database Design #SQL (Structured Query Language) #Data Modeling #Big Data #Scala #Security #Data Processing #Dataflow #Data Engineering
Role description
Data Engineer (3 days onsite/week) 6+ months contract Location: 2151 Hawkins Street, Charlotte, NC In-person interview - Glider test required Note: Financial company experience needed . Key skills:- PySpark, SQL, Python and GCP The position of Data Engineer II will be on a dynamic and growing team within the Global Risk & Compliance Technology (GRCT) organization at client. • Evaluates data requirements and stories, documents them for seamless integration into existing architectures, and maintains data models to support business needs. • Builds and enhances data pipelines and database designs to meet performance, scalability, and security requirements. • Collaborates in design reviews and testing and provides production environment support with guidance from peers and leaders. • Operates data assets according to consistent standards, guidelines, and policies. • Completes work reviews and fosters a collaborative learning environment. • Communicates and collaborates with business and product teams to facilitate changes and implementation. • Completes Big Data requirements by implementing basic partitioning and indexing solutions. • Collaborates and co-creates effectively with teams in product and the business to align technology initiatives with business objectives. • GCP Expertise: Hands-on experience with GCP services like BigQuery, Dataflow, Cloud Storage, Pub/Sub, Cloud Composer, and Cloud Functions. • Programming Languages: Strong proficiency in Python and SQL for data processing and manipulation. • ETL/ELT: Experience with ETL/ELT processes and data warehousing concepts. • Data Modeling: Understanding of data modeling principles and techniques. • Cloud Technologies: Knowledge of cloud computing concepts and standard processes.